{"id":"https://openalex.org/W4312245573","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927955","title":"A Modified Generative Adversarial Network for Reconstruction of Compressed Sesning MRI","display_name":"A Modified Generative Adversarial Network for Reconstruction of Compressed Sesning MRI","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4312245573","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927955"},"language":"en","primary_location":{"id":"doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9927955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927955","pdf_url":null,"source":{"id":"https://openalex.org/S4363605495","display_name":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100323420","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1803-3148"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["China Jiliang University,College of Information Engineering,Hangzhou,China","College of Information Engineering, China Jiliang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China Jiliang University,College of Information Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061696740","display_name":"Tong L\u00fc","orcid":"https://orcid.org/0000-0002-7051-5347"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Lu","raw_affiliation_strings":["China Jiliang University,College of Information Engineering,Hangzhou,China","College of Information Engineering, China Jiliang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China Jiliang University,College of Information Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020377697","display_name":"Tie\u2010Qiang Li","orcid":"https://orcid.org/0000-0002-4866-5904"},"institutions":[{"id":"https://openalex.org/I28166907","display_name":"Karolinska Institutet","ror":"https://ror.org/056d84691","country_code":"SE","type":"education","lineage":["https://openalex.org/I28166907"]},{"id":"https://openalex.org/I1335113835","display_name":"Karolinska University Hospital","ror":"https://ror.org/00m8d6786","country_code":"SE","type":"healthcare","lineage":["https://openalex.org/I1335113835"]},{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Tieqiang Li","raw_affiliation_strings":["China Jiliang University,College of Information Engineering","Karolinska Institutet, Karolinska University Hospital","College of Information Engineering, China Jiliang University"],"affiliations":[{"raw_affiliation_string":"China Jiliang University,College of Information Engineering","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"Karolinska Institutet, Karolinska University Hospital","institution_ids":["https://openalex.org/I1335113835","https://openalex.org/I28166907"]},{"raw_affiliation_string":"College of Information Engineering, China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101693403","display_name":"Xia Li","orcid":"https://orcid.org/0009-0007-5761-5283"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["China Jiliang University,College of Information Engineering,Hangzhou,China","College of Information Engineering, China Jiliang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China Jiliang University,College of Information Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100323420"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":0.2235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49124383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8258888721466064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119275331497192},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6630871295928955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501538753509521},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6296878457069397},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6266385912895203},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5674650073051453},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5665047764778137},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5310920476913452},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.523007333278656},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4696615934371948},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4304765462875366},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.42534226179122925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4088408946990967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35073643922805786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3101215958595276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14974358677864075},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12558495998382568}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8258888721466064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119275331497192},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6630871295928955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501538753509521},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6296878457069397},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6266385912895203},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5674650073051453},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5665047764778137},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5310920476913452},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.523007333278656},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4696615934371948},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4304765462875366},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.42534226179122925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4088408946990967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35073643922805786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3101215958595276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14974358677864075},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12558495998382568},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9927955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927955","pdf_url":null,"source":{"id":"https://openalex.org/S4363605495","display_name":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W810436464","https://openalex.org/W2026139930","https://openalex.org/W2037646045","https://openalex.org/W2056777447","https://openalex.org/W2115342670","https://openalex.org/W2475287302","https://openalex.org/W2528778766","https://openalex.org/W2594014149","https://openalex.org/W2606844919","https://openalex.org/W2617883747","https://openalex.org/W2726945914","https://openalex.org/W2753305843","https://openalex.org/W2778924750","https://openalex.org/W2905566673","https://openalex.org/W2962734274","https://openalex.org/W2963263347","https://openalex.org/W2963684088","https://openalex.org/W2988452521","https://openalex.org/W3039548339","https://openalex.org/W3088061938","https://openalex.org/W3091916112","https://openalex.org/W3096281486","https://openalex.org/W3105403262","https://openalex.org/W3108244925","https://openalex.org/W3148140980","https://openalex.org/W4250955649","https://openalex.org/W6685352114","https://openalex.org/W6726497184","https://openalex.org/W6738909161"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2896778670","https://openalex.org/W4322709305","https://openalex.org/W2808862658","https://openalex.org/W4391899165","https://openalex.org/W3010213975"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2,8],"(MRI)":[3],"is":[4,23,69],"a":[5,47,60],"noninvasive":[6],"medical":[7],"modality":[9],"and":[10,85],"has":[11,45],"been":[12,46],"widely":[13],"used":[14],"for":[15,43,71,82,138],"clinical":[16],"diagnostics.":[17],"However,":[18],"long":[19,87],"lasting":[20],"data":[21],"acquisition":[22],"not":[24],"only":[25],"costly,":[26],"but":[27],"also":[28],"can":[29],"lead":[30],"to":[31,38,90,110],"the":[32,40,53,83,92,108,112,127,133],"deterioration":[33],"of":[34,49,94],"image":[35],"quality.":[36],"How":[37],"improve":[39],"time":[41],"efficiency":[42],"MRI":[44,74],"subject":[48],"intensive":[50],"research":[51],"in":[52,97,107],"last":[54],"4":[55],"decades.":[56],"In":[57],"this":[58],"study,":[59],"reconstruction":[61],"algorithm":[62],"based":[63,119],"on":[64,120],"generative":[65],"adversarial":[66],"network":[67],"(GAN)":[68],"proposed":[70,128],"compressed":[72],"sensing":[73],"(CS-MRI).":[75],"We":[76,101],"adopted":[77],"dilated":[78],"residual":[79],"U-net":[80],"architecture":[81],"generator":[84],"incorporated":[86],"global":[88],"connections":[89],"reduce":[91],"loss":[93],"detailed":[95],"information":[96],"multiple":[98,121],"convolution":[99,106],"operations.":[100],"appended":[102],"batch-normalization":[103],"after":[104],"each":[105],"discriminator":[109],"address":[111],"gradient":[113],"vanishing":[114],"problem.":[115],"Extensive":[116],"experimental":[117],"results":[118],"sampling":[122],"rates":[123],"have":[124],"demonstrated":[125],"that":[126],"model":[129],"outperforms":[130],"several":[131],"other":[132],"state-of-the-art":[134],"deep":[135],"learning":[136],"algorithms":[137],"CS-MRI":[139],"reconstruction.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
